This paper introduces a computational framework for recovering spectral information from single-shot photos using a specially designed color chart and algorithm, achieving spectral resolution comparable to scientific spectrometers. It eliminates the need for training data or pre-trained models and has potential applications in accessible optical spectroscopy and hyperspectral imaging.
This article explores gamma spectroscopy using a Radiacode 103G detector and Python, detailing data collection, analysis, and experiments with various objects to identify radioactive elements.
The article discusses the search for extraterrestrial life using chemical biosignatures, focusing on the use of telescopes like the James Webb Space Telescope to analyze exoplanet atmospheres. It highlights the challenges in interpreting data and the need for robust criteria for identifying true biosignatures, using the example of dimethyl sulfide (DMS) detection on K2-18b.
